How to Install and Uninstall r-bioc-edger Package on Ubuntu 24.04 LTS (Noble Numbat)

Last updated: May 14,2024

1. Install "r-bioc-edger" package

Please follow the step by step instructions below to install r-bioc-edger on Ubuntu 24.04 LTS (Noble Numbat)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-bioc-edger
            
                    
    
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2. Uninstall "r-bioc-edger" package

Please follow the steps below to uninstall r-bioc-edger on Ubuntu 24.04 LTS (Noble Numbat):


    
        
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                sudo apt remove
            
                        
                r-bioc-edger
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-bioc-edger package on Ubuntu 24.04 LTS (Noble Numbat)

Package: r-bioc-edger
Architecture: amd64
Version: 4.0.15+dfsg-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1470
Depends: r-api-4.0, r-api-bioc-3.18, r-bioc-limma (>= 3.41.5), r-cran-locfit, r-cran-rcpp, libblas3 | libblas.so.3, libc6 (>= 2.29), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 13.1)
Suggests: r-cran-jsonlite, r-cran-readr, r-bioc-rhdf5, r-cran-knitr, r-bioc-annotationdbi, r-bioc-biobase, r-bioc-biocstyle, r-bioc-summarizedexperiment, r-bioc-org.hs.eg.db, r-cran-matrix, r-cran-seuratobject
Filename: pool/universe/r/r-bioc-edger/r-bioc-edger_4.0.15+dfsg-1_amd64.deb
Size: 1150734
MD5sum: b443a09bc1a3e1f0b2919d430f156a1c
SHA1: fe49f579f22a81c9468db90fb32c0ed7ecff4e89
SHA256: 854a251a818dd2ae93135b76bbe0eda92e43362aae1d175c7488f403a9b45469
SHA512: ee4481c727bbe2bedc52623213cba7bf2ab50d78a78ac2761a89cd8b465cc40a12e7c7b6a3102c0303055f71ded5c3b3cffacfb26d00d2ad4eb8f66fb36b2cae
Homepage: https://bioconductor.org/packages/edgeR/
Description: Empirical analysis of digital gene expression data in R
Description-md5: e9c6c6a168e9ee8c27a8db76210c4bdb